Show HN: Graphora – Turn text documents into graph databases

3 points by ezhil 345 days ago | 4 comments

Hi HN,

Built this after manually creating graph databases took me a few months at my last company.

Graphora converts unstructured text (documents, emails, reports) into graph databases automatically:

- Upload text → LLM extracts entities & relationships

- Handles entity resolution (same person, different names)

- Interactive ontology designer

- Exports to Neo4j (for now)

Demo: https://demo.graphora.io

You'll need to provide:

- Gemini API key (your own)

- 2 Neo4j instances for staging & Prod. [You can sign up for Free Aura]

All credentials encrypted.

Looking for feedback from anyone who's wrestled with turning messy text into structured relationship data. Let us know!

Oras 345 days ago |

How does it work when uploading documents later? let's say I uploaded a batch of 50 documents, then a week later I uploaded another 20. How does it ensure the correlation and context?

ezhil 345 days ago | |

The extraction happens based on a schema of nodes and edges. So, let's say you have 2 docs that have related data on a company, then they both will be connected. We use Entity resolution to combine them.

Oras 345 days ago | | |

So you need a pre-defined schema? and then when uploading, you assign which schema to use?